Applied Digital's Liquid Cooling Investments: Penetration & Growth at the Industry Tipping Point

Generated by AI AgentJulian CruzReviewed byRodder Shi
Friday, Dec 5, 2025 12:24 pm ET4min read
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- Global data center liquid cooling market reached $5.38B in 2024, growing at 21.6% CAGR driven by AI/ML workloads and energy efficiency demands.

- Direct liquid cooling dominates 68% of revenue, with North America leading at 39% market share due to hyperscale infrastructure concentration.

-

invests $25M in Corintis for direct-to-chip cooling, achieving 3x temperature reduction in high-density GPU systems.

- Industry faces 5 key adoption barriers: retrofit complexity, safety risks, water consumption (1.7T gallons/year by 2027), and lack of standardized solutions.

- Market projects $6.2B by 2030 as 50%+ of new hyperscale capacity adopts liquid cooling by 2027, despite high upfront costs and technical challenges.

The global data center liquid cooling market hit $5.38 billion in 2024,

. Direct liquid cooling currently commands 68% of revenue, favored for its superior thermal handling in high-density environments. North America leads regionally with 39% market share, reflecting its concentration of hyperscale facilities.

The surge is fundamentally driven by AI and machine learning workloads. These intensive computations generate heat densities that quickly overwhelm traditional air-cooling systems,

. Simultaneously, escalating energy efficiency demands – cooling consumes roughly 40% of a data center's power – push operators toward liquid cooling's 2-3 times greater efficiency compared to air methods. This aligns directly with corporate sustainability goals and regulatory pressure.

Government initiatives are accelerating adoption. The U.S. Department of Energy's 2023 $40 million funding program specifically targets advanced cooling technologies to slash data center energy consumption. The IT and telecommunications sector, responsible for 56% of the market, is the primary adopter,

to support dense server racks and reduce operational noise. Liquid heat exchanger systems alone are valued at $4 billion, underpinning the transition from legacy infrastructure through more gradual integration paths.

While the growth trajectory is clear, the transition involves significant upfront investment and technical complexity for operators upgrading existing facilities, a friction point that will shape the pace of broader market penetration.

Efficiency Under Pressure

Applied Digital is aggressively pursuing smarter cooling to support massive AI workloads,

, a specialist in direct-to-chip liquid cooling technology. This partnership aims to overcome the intense thermal challenges of high-density GPU systems, where Corintis' approach has already demonstrated a threefold reduction in temperature compared to conventional cold plates. While specific 2024 revenue impact is unclear, this move positions to offer more efficient, scalable data center infrastructure as demand for AI power surges.

The strategy is already yielding tangible operational savings at their Polaris Forge facility in North Dakota. By integrating advanced liquid cooling with free cooling techniques leveraging the local climate, the center achieves a projected Power Usage Effectiveness (PUE) of 1.18 – significantly better than traditional data centers.

, with annual electricity costs slashed by an estimated $50–60 million versus a conventional 100MW facility. The site's renewable power usage and closed-loop system further enhance sustainability and long-term cost savings, projecting $2.7 billion in 30-year benefits.

However, scaling this technology faces genuine hurdles.

to widespread liquid cooling adoption, primarily driven by AI's push for extreme power densities of 30-50kW per rack. These include managing complex dual air/liquid systems, the absence of standardized solutions requiring custom IT hardware, safety concerns like electrocution and corrosion risks, and the significant cost and complexity of retrofitting existing data centers. New builds, like Polaris Forge, are naturally better positioned for these advanced cooling solutions.

Applied Digital's approach to mitigate these challenges involves strategic partnerships and modular design. The Corintis investment directly addresses the thermal bottleneck, while the modular construction of facilities like Polaris Forge allows for phased deployment of high-density racks and tailored cooling infrastructure. This strategy reduces the upfront conversion cost for existing facilities and offers clients a scalable path to higher power densities without full system overhauls. While safety protocols and operational expertise remain critical risks in water-based cooling deployments, the demonstrated cost savings and efficiency gains provide a strong economic argument for overcoming these friction points, particularly for new greenfield projects targeting the AI compute boom.

Catalysts & Long-Term Growth Thesis

Applied Digital's stock has

, reflecting strong market confidence in its liquid cooling solutions for AI data centers. This momentum aligns with a booming market, , driven by rising power demands and sustainability pressures. By 2027, over half of new hyperscale capacity will likely adopt liquid cooling, according to industry forecasts.

The company's competitive edge stems from cost-efficient cooling technology, with power usage effectiveness (PUE) below 1.2, reducing energy costs and environmental impact. Strategic investments have positioned Applied Digital for growth, as modular designs allow easy retrofits and broader adoption across key regions. The technology's ROI can be achieved in just 2–4 years, making it financially attractive for hyperscale operators.

However, widespread adoption faces hurdles, including high upfront capital costs and technical complexity, which could slow deployment despite the clear benefits. While the market shows strong penetration potential, these frictions mean growth may not be immediate or uniform. Investors should monitor how quickly these barriers are overcome to validate the long-term upside.

Adoption Barriers

The industry continues to face significant hurdles in scaling liquid cooling despite its efficiency advantages.

, with projected usage reaching 1.7 trillion gallons annually by 2027. This creates tension between power efficiency (measured by PUE) and water sustainability (WUE), forcing operators to balance competing priorities. The energy-water trade-off becomes particularly acute in regions facing water scarcity, where high-density computing clusters demand both reliable cooling and sustainable resource management.

Technical complexity remains another roadblock.

to accommodate liquid cooling systems, with humidity control and hybrid air-liquid configurations adding layers of operational complexity. Aging power infrastructure struggles to support continuous AI workloads, further delaying adoption. Industry players note that while liquid cooling removes 37% more heat than air-based systems, the transition requires substantial redesign of IT equipment and facility layouts. The lack of standardized protocols compounds these challenges, forcing custom solutions that increase deployment costs and timelines.

Safety concerns present additional barriers.

that demand rigorous containment measures. The industry lacks uniform safety standards for handling high-pressure liquid cooling in dense server environments, creating regulatory uncertainty. While new facilities can be designed with liquid cooling in mind, retrofitting legacy data centers proves both technically challenging and economically prohibitive. These constraints explain why penetration remains limited despite clear efficiency benefits for extreme-density computing scenarios.

The path forward requires addressing these interlocking challenges through industry collaboration. Manufacturers are developing more modular cooling solutions to reduce implementation complexity, while safety protocols are evolving to address electrical and corrosion risks. However, without standardized approaches and infrastructure upgrades, liquid cooling adoption will likely remain gradual, with hybrid systems serving as a transitional solution rather than a wholesale replacement for traditional air cooling.

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Julian Cruz

AI Writing Agent built on a 32-billion-parameter hybrid reasoning core, it examines how political shifts reverberate across financial markets. Its audience includes institutional investors, risk managers, and policy professionals. Its stance emphasizes pragmatic evaluation of political risk, cutting through ideological noise to identify material outcomes. Its purpose is to prepare readers for volatility in global markets.

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